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Insight at FreakOut

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Category: Contextual and AI Targeting

Contextual targeting, brand suitability and AI-driven placement on YouTube and the open web.

Bar chart of the share of trending football videos outside the Sports category in five Asian markets.

Football Content on YouTube: A Five-Market Study in Asia

2026-07-292026-08-25JiaYee LeeLeave a Comment on Football Content on YouTube: A Five-Market Study in Asia

Category mix, engagement rates, chart tenure and comment analysis for local-language football videos trending across five Asian markets, 11 June to 17 July 2026.

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Grid of 30 squares with 21 highlighted: 21 of 30 top placements on a B2B campaign were children programming.

One Account, Several Viewers: What YouTube Sharing Does to Targeting

2026-07-152026-08-25JiaYee LeeLeave a Comment on One Account, Several Viewers: What YouTube Sharing Does to Targeting

Around 40% of YouTube users share their account at home. In one campaign targeting business decision-makers, 70% of top placements were children’s programming.

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Bar comparison showing 2.7 times more favourable impression when the ad fits the content.

Contextual Ads Are Received 2.7x Better. Here’s the Data.

2026-06-242026-08-25JiaYee LeeLeave a Comment on Contextual Ads Are Received 2.7x Better. Here’s the Data.

Among viewers who disliked or felt neutral about YouTube advertising, favourable impressions rose roughly 2.7 times when the ad was relevant to the video around it.

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Large 3 percent figure: the share of multitasking viewers who say they watch the ad.

The 3% Problem: Why View Rate and Attention Measure Different Things

2026-05-132026-08-25JiaYee LeeLeave a Comment on The 3% Problem: Why View Rate and Attention Measure Different Things

A campaign can report a 40-50% view rate while only 3% of multitasking viewers actually watch the ad. Survey research across 7,704 respondents on why the two numbers diverge.

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Bars: 80 percent affinity, 60 percent topic and 1 percent placement-targeted impressions reported in aggregate.

How Much of a YouTube Shorts Buy Is Visible in the Placement Report?

2026-04-082026-08-25JiaYee LeeLeave a Comment on How Much of a YouTube Shorts Buy Is Visible in the Placement Report?

A placement test on YouTube Shorts: 80% of affinity-targeted impressions came back grouped under “Other”, 60% under topic targeting, and about 1% when buying against a specified video list.

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Bars: 87 percent of placement-targeted and 48 percent of keyword-targeted impressions landed in the intended category.

Keyword Targeting vs Contextual Targeting on YouTube: 48% vs 87% On-Category Impressions

2026-02-172026-08-25JiaYee LeeLeave a Comment on Keyword Targeting vs Contextual Targeting on YouTube: 48% vs 87% On-Category Impressions

A matched test of keyword targeting against video-level contextual targeting. Same creative, same budget: 48% versus 87% of impressions landed in the intended content category.

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Four squares with one highlighted: one in four name YouTube as a source when deciding what to buy.

One in Four People Use YouTube to Decide What to Buy

2026-01-212026-08-25JiaYee LeeLeave a Comment on One in Four People Use YouTube to Decide What to Buy

A quarter of people consult YouTube while deciding what to buy, and it leads all online media for games, daily necessities and cosmetics. Why last-click reporting misses it.

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Quadrant plot of YouTube categories by reach and visual attention, with Music at high reach and low attention.

The Biggest YouTube Category Is the One Nobody Watches

2025-10-082026-08-25JiaYee LeeLeave a Comment on The Biggest YouTube Category Is the One Nobody Watches

Music reaches more YouTube viewers than any other category and holds the least attention. What the category data says about the trade-off between reach and being looked at.

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Two barely overlapping circles: 5 percent overlap in unique reach between placement and affinity targeting.

Placement and Affinity Targeting on YouTube Shared Only 5% of Their Reach

2025-10-072026-08-25JiaYee LeeLeave a Comment on Placement and Affinity Targeting on YouTube Shared Only 5% of Their Reach

Two targeting methods inside YouTube Ads, same creative and budget: 5% overlap in unique reach, and a 46% higher on-target rate on the placement-targeted line.

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The Privacy Paradox: How to Balance Privacy & Personalization in Advertising

2023-07-182026-08-21FreakOut

Imagine a world where users are bombarded with countless advertisements, each vying for their attention in an overcrowded digital space. With ads flooding their screens, emails, and social media feeds, how can a brand truly make an impact? The answer lies in personalization.

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Recent Posts

  • YouTube Usage and Purchase Consideration: Research Data
  • Football Content on YouTube: A Five-Market Study in Asia
  • One Account, Several Viewers: What YouTube Sharing Does to Targeting
  • Contextual Ads Are Received 2.7x Better. Here’s the Data.
  • The 3% Problem: Why View Rate and Attention Measure Different Things

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Insight at FreakOut

The marketing journal of FreakOut Pte. Ltd. Research, benchmarks and practitioner analysis on digital advertising in Asia — contextual and YouTube targeting, TikTok and short-form video, rich media, and streaming — written by the teams running campaigns across 11 markets.

About this journal  ·  FreakOut corporate site

Latest News

  • Data sheet listing respondents, multitasking share, ad-supported share and purchase-decision share.

    YouTube Usage and Purchase Consideration: Research Data

    2026-08-052026-08-25JiaYee Lee
  • Bar chart of the share of trending football videos outside the Sports category in five Asian markets.

    Football Content on YouTube: A Five-Market Study in Asia

    2026-07-292026-08-25JiaYee Lee
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